Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're seeking visionary researchers to pioneer next-generation algorithms that will redefine computational boundaries. Our cross-disciplinary team operates at the intersection of quantum mechanics, machine learning, and theoretical physics, developing solutions for climate modeling, drug discovery, and autonomous systems. Enjoy cutting-edge resources, flexible work arrangements, and collaboration with Nobel laureates in our state-of-the-art downtown facility.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Lead research on fault-tolerant quantum computing architectures
- Develop hybrid quantum-classical algorithms for real-world applications
- Collaborate with hardware teams to validate quantum supremacy claims
- Publish breakthrough research in top-tier journals and conferences
- Secure $5M+ in government and private research grants
- Mentor PhD candidates and postdoctoral researchers
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development
- Expertise in Python/C++ with quantum frameworks (Qiskit, Cirq, or PennyLane)
- Published work in quantum machine learning or quantum error correction
- Deep understanding of tensor networks and quantum annealing principles
- Experience securing government research grants (NSF, DOE, DARPA)
- Track record of interdisciplinary collaboration with AI/ML teams